Prestack AVO inversion for brittleness index of shale based on BI_Zoeppritz equation and NSGA II

Acta Geophysica

article

Bi, Chenchen¹  Wang, Yanchun¹  Xie, Wei²  Sun, Wei³  Liu, Wei¹ 

[1] School of Geophysics and Information Technology, China University of Geosciences;Sinopec Geophysical Research Institute;Sinopec Exploration and Production Research Institute

关键词: Brittleness index;    Shale;    AVO inversion;    BI_Zoeppritz equation;    NSGA II;   

DOI  :  10.1007/s11600-020-00461-w

学科分类：地球科学(综合)

来源: Polska Akademia Nauk * Instytut Geofizyki

【 摘 要 】

As one of the evaluation characteristics of shale sweet spots, the brittleness index (BI) of shale formations is of great significance in predicting the range of sweet spots, and guiding hydraulic fracturing. Based on the three elastic parameters of P-wave velocity (VP), S-wave velocity (VS) and density obtained by conventional prestack AVO inversion, BI can be calculated indirectly using the Rickman formula. However, the conventional AVO inversion based on Zoeppritz approximation assumes that incident angle is small and elastic parameters change slowly, which affects the inversion accuracy of the three elastic parameters. Additionally, using these three elastic parameters to obtain BI indirectly also leads to cumulative errors of the inversion results. Therefore, we propose an inversion method based on BI_Zoeppritz equation to directly estimate VP, VS and BI. The BI_Zoeppritz equation is an exact Zoeppritz equation for BI, which is used as the forward operator for the proposed method. The multi-objective function of the inversion method is optimized by a fast nondominated sorting genetic algorithm (NSGA II). An initial model and an optimized search window are used to improve the inversion accuracy. The test results of model data and actual data reveal that this method can directly obtain the BI with high precision. In addition, the stability and noise immunity of the proposed method are verified by the seismic data with random noise.

【 授权许可】

Unknown